Dragonfly Algorithm (DA)

  • Babak Zolghadr-Asli
  • Omid Bozorg-Haddad
  • Xuefeng Chu
Part of the Studies in Computational Intelligence book series (SCI, volume 720)


The dragonfly algorithm (DA) is a new metaheuristic optimization algorithm, which is based on simulating the swarming behavior of dragonfly individuals. This algorithm was developed by Mirjalili (2016) and the preliminary studies illustrated its potential in solving numerous benchmark optimization problems and complex computational fluid dynamics (CFD) optimization problems. In this chapter, the natural process behind a standard DA is described at length.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural ResourcesUniversity of TehranKarajIran
  2. 2.Department of Civil and Environmental EngineeringNorth Dakota State UniversityFargoUSA

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